Shabbir Atnur

Developed and deployed working Unet deep learning model for localizing surface defects such as scratches, dents, and cracks on the exterior surface of smart devices. Developed object detection model (Yolo) for localizing different meters and their features like screen, buttons, and barcode. Developed OCR models(CRAFT+CRNN) for reading the text of meter secreens. Deployed model on Nvidia Jetson Xavier and Jetson Nano using Tensorrt fast inference engine. Developed an object detection (Yolo) model for localizing different icons on mobile screens. Developed OCR models (Yolo+CRNN) for reading the text of mobile screens. Deployed model on Nvidia Jetson Xavier and Jetson Nano using Tensorrt fast inference engine.

Data collection and Annotation for Cosmetic Grading Machine. POCs for different Machine Vision projects (Defect Detection of Mechanical Parts using Image Segmentation, Classification of Defective parts using Template Matching, Measurement of mechanical parts like diameter, angle, gear teeth, etc.).